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Comparing SF-6D and EQ-5D utilities across groups differing in health status
Nick Kontodimopoulos1, Evelina Pappa, Angelos A Papadopoulos
1Hellenic Open University, Patras, Greece. nkontodi@otenet.gr
Summary
The EQ-5D and SF-6D health utility measures show distinct performance across different health groups. EQ-5D scores are higher in healthier individuals, while SF-6D scores are higher in those with clinical conditions.
Area of Science:
- Health Economics
- Patient-Reported Outcomes
- Psychometrics
Background:
- Health utility measures are crucial for economic evaluations in healthcare.
- The EQ-5D (EuroQol 5 Dimensions) and SF-6D (Short Form 6 Dimensions) are widely used instruments.
- Understanding their comparative performance across diverse populations is essential.
Purpose of the Study:
- To compare the EQ-5D and SF-6D in a representative Greek general population sample.
- To examine mean utility score differences between the two instruments across various socio-demographic and clinical groups.
- To validate findings in a sample of individuals with diabetes.
Main Methods:
- Utilized Pearson's r and Intraclass Correlation Coefficient (ICC) to assess association and agreement.
- Employed paired-samples t-tests to identify significant score differences, defining minimally important differences (MIDs) at >0.03.
- Classified participants into health status groups using the EQ-Visual Analogue Scale (EQ-VAS).
Main Results:
- Strong overall agreement and correlation between EQ-5D and SF-6D (ICC=0.536, r=0.662).
- EQ-5D scores were significantly higher in healthier individuals, with differences meeting MIDs.
- SF-6D scores were predominantly higher in individuals with clinical conditions, a pattern consistent in the diabetes sample.
Conclusions:
- Confirmed hypotheses that EQ-5D yields higher scores in healthier populations and SF-6D in less healthy groups.
- Demonstrated that EQ-5D and SF-6D measure discrepancies create utility differences across health status groups.
- Highlighted the need for further within-sample investigation of these measurement discrepancies.